# coding=utf-8
# Copyright 2024 The Google Research Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
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# See the License for the specific language governing permissions and
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"""TODO(tsitsulin): add headers, tests, and improve style."""
from typing import List

import tensorflow.compat.v2 as tf

from graph_embedding.dmon.layers.diffpool import DiffPooling
from graph_embedding.dmon.layers.gcn import GCN


def gcn_diffpool(inputs, channel_sizes):
  features, graph = inputs
  output = features
  for n_channels in channel_sizes[:-1]:
    output = GCN(n_channels)([output, graph])
  pool, pool_assignment = DiffPooling(
      channel_sizes[-1], do_unpool=False)([output, graph])
  return tf.keras.Model(
      inputs=[features, graph], outputs=[pool, pool_assignment])
